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17 search results found

Pdebench ⭐ 522

PDEBench: An Extensive Benchmark for Scientific Machine Learning

Physics-Informed Neural networks for Advanced modeling

Idrlnet ⭐ 129

IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.

Simple PyTorch Implementation of Physics Informed Neural Network (PINN)

A toolkit with data-driven pipelines for physics-informed machine learning.

Ofmlhackathon ⭐ 56

OpenFOAM and Machine Learning Hackathon

Heat Pinn ⭐ 53

A Physics-Informed Neural Network to solve 2D steady-state heat equation.

python library for atomistic machine learning

Datadrivendynsyst ⭐ 40

Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems

Repository for Gravity Field Modeling and Recovery using Machine Learning Methods

Gpt Pinn ⭐ 22

Generative Pre-Trained Physics-Informed Neural Networks Implementation

Pararealml ⭐ 19

A machine learning boosted parallel-in-time differential equation solver framework.

Ms Hpc Ai Gpu ⭐ 19

resources pour le cours d'introduction à la programmation des GPUs du mastère spécialisé HPC-AI

To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to the direction of travel of information in convection-diffusion equations, i.e., method of characteristic; The repository includes a pytorch implementation of PINN and proposed LPINN with periodic boundary conditions

Burger Pinn ⭐ 17

A Physics-Informed Neural Network for solving Burgers' equation.

Mathepideeplearning ⭐ 15

Awesome-spatial-temporal-data-mining-packages. Julia and Python resources on spatial and temporal data mining. Mathematical epidemiology as an application. Most about package information. Data Sources Links and Epidemic Repos are also included. Keep updating.

Deepsysid ⭐ 9

System identification toolkit for multistep prediction using deep learning and hybrid methods.

A PyTorch library for Physics-Informed Neural Networks (PINNs)

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